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Thus, PCA effectively reduces the multi-dimensional experimental data to its main components and, thus, improves the human perception of the data.
This data, among other data sets covered in the supporting information, will serve us to demonstrate how the metabolic contextualization dramatically increases the resolution of our perception of the data.
The qualitative analyses will incorporate the following processes [ 50, 51]: 1) Invite participants to review the transcripts of interviews, and summarize their perception of the data, for accuracy, and check for the trustworthiness of the data; 2) Conduct a thematic analysis using a reciprocal coding approach where researchers engage in open dialogue about themes and data interpretation.
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Therefore, the volume of information combined with an inadequate understanding of the information presented may have influenced respondents' perceptions of the data presentation formats.
This Likert scale questionnaire was developed to elicit staff user perceptions of the data collection method employed at the study site (Additional File 2).
Principal component analysis is an effective method to reduce multidimensional data space to its main components and, therefore improves the human perception ability of the data.
The equipment of objects, rooms and machines with different technologies for the perception of the environment, data storage, communication and autonomous acting forms the technological basis of the "Internet of Things" (cf. Dworschak et al. 2011).
Consequently, this mandates the requirement of a flexible visualization paradigm to ensure effective and efficient perception and comprehension of the data.
Such a task is challenging as the system should learn how to establish the update according to the user perception and representation of the data.
Nevertheless, there is a growing perception of the community that data sharing is one fundamental building block of reproducibility in science, and a rapidly expanding number of imaging datasets are being shared thus facilitating discoveries.
In order to monitor and limit subjectivity, two members of the research supervision team will examine parts of the transcripts to compare their perceptions of the interview data and analysis with the researcher's interpretation.
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